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orchestrating-multi-agent-systems（编排多 Agent 系统）

Agent Skill

orchestrating-multi-agent-systems 用于查找、检索和筛选相关信息，适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态，以及是否会触发联网、命令执行或文件读写。

总安装

635

周安装

27

GitHub Stars

2,106

下载量

222
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息，不托管安装包，也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：orchestrating-multi-agent-systems（编排多 Agent 系统）
来源仓库：https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径：skills/orchestrating-multi-agent-systems
安装命令：
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill orchestrating-multi-agent-systems
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill orchestrating-multi-agent-systems

简介

orchestrating-multi-agent-systems 用于查找、检索和筛选相关信息。

  • 适合在需要根据关键词或任务场景快速定位候选结果时使用。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否触发联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI，接入前应确认版本、权限和运行环境要求。

SKILL.md

Orchestrating Multi-Agent Systems

Overview

Design and implement multi-agent systems using AI SDK v5 with structured handoffs, intelligent routing, and coordinated workflows across AI providers. This skill covers agent role definition, tool scoping, inter-agent delegation via handoff rules, and workflow orchestration patterns including coordinator-worker and supervisor topologies.

Prerequisites

  • Node.js 18+ and TypeScript 5.0+ runtime
  • AI SDK v5 (npm install ai @ai-sdk/openai @ai-sdk/anthropic @ai-sdk/google)
  • API keys for target providers set in environment variables (OPENAI_API_KEY, ANTHROPIC_API_KEY, GOOGLE_GENERATIVE_AI_API_KEY)
  • Zod for input/output schema validation (npm install zod)
  • Familiarity with agent-based architecture patterns (coordinator, pipeline, broadcast)

Instructions

  1. Initialize a TypeScript project with tsconfig.json targeting ES2022 and moduleResolution bundler
  2. Install AI SDK v5 core and provider packages for each model backend required
  3. Define agent roles by creating separate modules per agent, each with a system prompt, model binding, and scoped tool set
  4. Implement tool functions using ai.tool() with Zod input/output schemas for type-safe execution
  5. Configure handoff rules using ai.handoff() to delegate tasks between agents with clear trigger conditions and context passing
  6. Build routing logic that classifies incoming requests by topic or intent and dispatches to the appropriate specialist agent
  7. Wire agents into a workflow using sequential, parallel, or conditional orchestration patterns
  8. Add state management to persist context across multi-step workflows using a shared context object or external store
  9. Implement circuit breakers and timeout guards to prevent workflow deadlocks
  10. Test each agent in isolation, then validate end-to-end handoff chains with representative inputs

See ${CLAUDE_SKILL_DIR}/references/implementation.md for the detailed implementation guide.

Output

  • TypeScript agent modules with AI SDK v5 provider bindings and system prompts
  • Tool definitions with Zod-validated input/output schemas
  • Handoff configuration mapping agent-to-agent delegation triggers
  • Workflow orchestration files defining sequential, parallel, and conditional execution paths
  • Routing classifier that maps user intents to specialist agents
  • Integration test suite covering handoff chains and fallback paths

Error Handling

ErrorCauseSolution
Provider configuration invalidMissing or malformed API key in environmentVerify process.env.*_API_KEY values; check provider SDK version compatibility
Circular handoff detectedAgent A hands off to B which hands back to AImplement handoff depth counter; set maxHandoffDepth and add a fallback terminal agent
Task routed to no agentRouting classifier returned no match for inputAdd a default catch-all route; improve classifier training data or keyword coverage
Tool access violationAgent invoked a tool outside its scoped permission setReview tools array per agent; ensure tool names match registered definitions exactly
Workflow timeoutMulti-step workflow exceeded deadline without completionSet per-step timeouts with AbortController; add workflow-level deadline and partial-result handling

See ${CLAUDE_SKILL_DIR}/references/errors.md for the full error reference.

Examples

Scenario 1: Customer Support Triage -- A coordinator agent classifies incoming tickets as billing, technical, or general. Billing queries hand off to a specialist agent with access to Stripe tools. Technical queries route to a code-analysis agent with filesystem read tools. Resolution rate target: 85% automated within 3 handoff steps.

Scenario 2: Research Pipeline -- A sequential workflow chains a web-search agent, a summarization agent, and a report-writer agent. Each agent produces structured JSON output consumed by the next. The pipeline processes 50 research queries per batch with a p95 latency under 30 seconds per query.

Scenario 3: Code Review Multi-Agent -- A supervisor agent distributes pull request diffs to specialized reviewers (security, performance, style). Each reviewer returns findings with severity scores. The supervisor aggregates results into a unified review with prioritized action items.

See ${CLAUDE_SKILL_DIR}/references/examples.md for additional examples.

Resources

  • AI SDK v5 Documentation -- agent creation, tool definitions, handoffs
  • Zod Schema Library -- input/output validation for tools and flows
  • Provider integration guides: OpenAI, Anthropic, Google Gemini
  • Coordinator-worker and supervisor orchestration pattern references
  • OpenTelemetry tracing for multi-agent observability

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明，方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.6%
按下载量换算83

Claude

27.87%
按下载量换算62

Cursor

18.65%
按下载量换算41

Gemini CLI

8.43%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置，应进入高风险复核队列，默认不自动发布。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果，不能写成本站确认安全。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/jeremylongshore/claude-code-plugins-plus-skills

SKILL.md 来源

github.com

/jeremylongshore/claude-code-plugins-plus-skills/tree/main/skills/orchestrating-multi-agent-systems

skills-sh

skills.sh

/jeremylongshore/claude-code-plugins-plus-skills/orchestrating-multi-agent-systems

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